www.geodatenkatalog.de (S1L)
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Germany
1721 record(s)
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The FBDL44 TTAAii Data Designators decode as: T1 (F): Forecast T1T2 (FB): Upper winds and temperatures A1A2 (DL): Germany (Remarks from Volume-C: NilReason)
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The WWDL38 TTAAii Data Designators decode as: T1 (W): Warnings T1T2 (WW): Warnings and weather summary A1A2 (DL): Germany (Remarks from Volume-C: NilReason)
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Gridded data of daily precipitation with 1 km horizontal resolution provided by the hydrometeorology of Deutscher Wetterdienst. Information about the REGNIE product (de.dwd.hydromet.regnie.daily.data): data handling and product description.
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The WWDL99 TTAAii Data Designators decode as: T1 (W): Warnings T1T2 (WW): Warnings and weather summary A1A2 (DL): Germany (Remarks from Volume-C: NilReason)
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The WWDL38 TTAAii Data Designators decode as: T1 (W): Warnings T1T2 (WW): Warnings and weather summary A1A2 (DL): Germany (Remarks from Volume-C: NilReason)
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The FBDL42 TTAAii Data Designators decode as: T1 (F): Forecast T1T2 (FB): Upper winds and temperatures A1A2 (DL): Germany (Remarks from Volume-C: NilReason)
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The WWDL39 TTAAii Data Designators decode as: T1 (W): Warnings T1T2 (WW): Warnings and weather summary A1A2 (DL): Germany (Remarks from Volume-C: NilReason)
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The WWDL38 TTAAii Data Designators decode as: T1 (W): Warnings T1T2 (WW): Warnings and weather summary A1A2 (DL): Germany (Remarks from Volume-C: NilReason)
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The FODL44 TTAAii Data Designators decode as: T1 (F): Forecast T1T2 (FO): Guidance A1A2 (DL): Germany (Remarks from Volume-C: NilReason)
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This land cover classification of Germany was created using Sentinel-2 imagery from the years 2015 to 2017 and LUCAS 2015 in-situ reference data (https://ec.europa.eu/eurostat/web/lucas). It contains seven land cover types: (1) artificial land, (2) open soil, (3) high seasonal vegetation, (4) high perennial vegetation, (5) low seasonal vegetation, (6) low perennial vegetation and (7) water with a spatial resolution of 10m x 10m. For further information, please see the following publication: https://doi.org/10.1016/j.jag.2020.102065